Papers
7
Total Citations
341
H-Index
6
About
Fabio Muttin is a leading figure in robotic urologic oncology, whose work has fundamentally shaped how surgeons approach kidney and prostate cancer. His research centers on optimizing surgical techniques and understanding the learning curves that define expertise in robot-assisted surgery. Muttin’s most impactful contribution is his landmark study on the learning curve for robot-assisted partial nephrectomy, cited over 160 times, which provides critical benchmarks for how surgical experience directly improves perioperative outcomes. He has further advanced the field by challenging assumptions about patient selection, demonstrating that robot-assisted partial nephrectomy is not contraindicated for complex tumors or patients with significant comorbidities. In prostate cancer diagnostics, Muttin pioneered comparative analyses of novel biopsy techniques, including micro-ultrasound cognitive guidance versus established robotic fusion biopsies, helping to refine detection strategies. His work also extends to surgical access strategies—showing that tailoring transperitoneal or retroperitoneal approaches to tumor location improves outcomes—and to the technical validation of teleoperated multi-robot platforms for minimally invasive surgery. With a cumulative citation count exceeding 340, Muttin’s research provides evidence-based guidance for surgeons navigating the complexities of robotic oncology, from initial skill acquisition to advanced procedural optimization.
Research Focus
Key Achievements
Top Papers
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